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08/03/2023
Causal thinking for decision making on Electronic Health Records: why and how
Accurate predictions, as with machine learning, may not suffice to provi...
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05/22/2023
Evaluating the Impact of Social Determinants on Health Prediction
Social determinants of health (SDOH) – the conditions in which people li...
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04/26/2023
Towards clinical AI fairness: A translational perspective
Artificial intelligence (AI) has demonstrated the ability to extract ins...
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11/13/2022
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies
Chronic obstructive pulmonary disease (COPD) is one of the most common c...
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07/16/2022
Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event
A datathon is a time-constrained competition involving data science appl...
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06/06/2022
Learning to Ask Like a Physician
Existing question answering (QA) datasets derived from electronic health...
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05/08/2022
Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations
Clinical notes are becoming an increasingly important data source for ma...
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11/28/2021
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation
Off-policy policy evaluation methods for sequential decision making can ...
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09/01/2021
Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study
The unprecedented global crisis brought about by the COVID-19 pandemic h...
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07/21/2021
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
Background: In medical imaging, prior studies have demonstrated disparat...
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07/07/2021
Prediction of Blood Lactate Values in Critically Ill Patients: A Retrospective Multi-center Cohort Study
Purpose. Elevations in initially obtained serum lactate levels are stron...
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01/16/2021
Predicting Hyperkalemia in the ICU and Evaluation of Generalizability and Interpretability
Hyperkalemia is a potentially life-threatening condition that can lead t...
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01/09/2021
Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment
Many batch RL health applications first discretize time into fixed inter...
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12/22/2020
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding
Acronyms are the short forms of longer phrases and they are frequently u...
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08/31/2020
Real-time Prediction of COVID-19 related Mortality using Electronic Health Records
Coronavirus Disease 2019 (COVID-19) is an emerging respiratory disease c...
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03/06/2020
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients
A crucial step within secondary analysis of electronic health records (E...
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02/10/2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
Off-policy evaluation in reinforcement learning offers the chance of usi...
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01/28/2020
Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study an
Background: Elderly patients with MODS have high risk of death and poor ...
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11/04/2019
Ensembles of Locally Independent Prediction Models
Many ensemble methods encourage their constituent models to be diverse, ...
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08/11/2018
Racial Disparities and Mistrust in End-of-Life Care
There are established racial disparities in healthcare, including during...
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08/04/2018
Withholding aggressive treatments may not accelerate time to death among dying ICU patients
Critically ill patients may die despite aggressive treatment. In this st...
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06/30/2018
Modeling Mistrust in End-of-Life Care
In this work, we characterize the doctor-patient relationship using a ma...
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05/31/2018
Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Much attention has been devoted recently to the development of machine l...
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03/25/2017
